[英]How to print a numpy.array in one line?
I tested PyCharm and IDLE, both of them print the 7th number to a second line. 我测试了PyCharm和IDLE,它们都将第7个数字打印到第二行。
Input: 输入:
import numpy as np
a=np.array([ 1.02090721, 1.02763091, 1.03899317, 1.00630297, 1.00127454, 0.89916715, 1.04486896])
print(a)
Output: 输出:
[ 1.02090721 1.02763091 1.03899317 1.00630297 1.00127454 0.89916715
1.04486896]
How can I print them in one line? 如何将它们打印在一行中?
If you want a customized version of str(a)
, the answer is array_str
: 如果你想要一个自定义版本的str(a)
,答案是array_str
:
>>> print(a)
[ 1.02090721 1.02763091 1.03899317 1.00630297 1.00127454 0.89916715
1.04486896]
>>> str(a)
'[1.02090721 1.02763091 1.03899317 1.00630297 1.00127454 0.89916715\n 1.04486896]'
>>> np.array_str(a, max_line_width=np.inf)
'[1.02090721 1.02763091 1.03899317 1.00630297 1.00127454 0.89916715 1.04486896]'
>>> print(np.array_str(a, max_line_width=np.inf)
[1.02090721 1.02763091 1.03899317 1.00630297 1.00127454 0.89916715 1.04486896]
If you want to change the printout of every array, not just here, see set_printoptions
. 如果要更改每个数组的打印输出,而不仅仅是这里,请参阅set_printoptions
。
There is np.set_printoptions
which allows to modify the "line-width" of the printed NumPy array: 有np.set_printoptions
允许修改打印的NumPy数组的“行宽”:
>>> import numpy as np
>>> np.set_printoptions(linewidth=np.inf)
>>> a = np.array([ 1.02090721, 1.02763091, 1.03899317, 1.00630297, 1.00127454, 0.89916715, 1.04486896])
>>> print(a)
[1.02090721 1.02763091 1.03899317 1.00630297 1.00127454 0.89916715 1.04486896]
It will print all 1D arrays in one line. 它将在一行中打印所有1D阵列。 It won't work that easily with multidimensional arrays. 对于多维数组,它不会那么容易。
Similar to here you could use a contextmanager if you just want to temporarily change that: 与此类似,如果您只是想暂时更改它,可以使用contextmanager:
import numpy as np
from contextlib import contextmanager
@contextmanager
def print_array_on_one_line():
oldoptions = np.get_printoptions()
np.set_printoptions(linewidth=np.inf)
yield
np.set_printoptions(**oldoptions)
Then you use it like this (fresh interpreter session assumed): 然后你就像这样使用它(假设新的解释器会话):
>>> import numpy as np
>>> np.random.random(10) # default
[0.12854047 0.35702647 0.61189795 0.43945279 0.04606867 0.83215714
0.4274313 0.6213961 0.29540808 0.13134124]
>>> with print_array_on_one_line(): # in this block it will be in one line
... print(np.random.random(10))
[0.86671089 0.68990916 0.97760075 0.51284228 0.86199111 0.90252942 0.0689861 0.18049253 0.78477971 0.85592009]
>>> np.random.random(10) # reset
[0.65625313 0.58415921 0.17207238 0.12483019 0.59113892 0.19527236
0.20263972 0.30875768 0.50692189 0.02021453]
Type cast to a list when printing. 打印时键入强制转换为列表。
import numpy as np
a=np.array([ 1.02090721, 1.02763091, 1.03899317, 1.00630297, 1.00127454, 0.89916715, 1.04486896])
print(list(a))
This will print on a single line. 这将打印在一行。
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